Sr Associate AI Full stack Software Engineer
About The Position
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. We are seeking a highly skilled and experienced Sr. Associate AI Full stack Software Engineer to join our innovative team. This role will be responsible for designing, developing, and deploying end-to-end AI-powered software solutions, from front-end user interfaces to back-end services and AI model integration, within the healthcare domain.
Requirements
- Minimum 2+ years of experience in Software development.
- B.S. degree in Computer Science or related engineering discipline, or equivalent experience
- 2+ years of experience developing AI-powered applications using LLMs, voice, image, or speech models
- Experience with AI evaluation metrics (precision, recall, F1, AUC) and MLOps for scalable deployment
- Proven ability to build RAG solutions using LangChain/LlamaIndex and vector databases
- Strong experience with LLM optimization techniques (prompting, caching, cost awareness)
- Proficiency in Python and AI/ML frameworks (OpenAI, TensorFlow, PyTorch)
- Full-stack development experience, including Node.js (Express)
- Experience with cloud platforms (AWS, GCP, or Azure)
- Experience with modern DevOps tools (Git, Docker, Kubernetes)
- Strong analytical/problem-solving skills to derive insights from data
Nice To Haves
- Deep understanding of LLM model landscape (e.g., GPT variants, emerging models)
- Experience with advanced LLM cost optimization techniques (batching, quantization)
- Experience using AI coding assistants (GitHub Copilot, Cursor, Codeium/Windsurf)
- Healthcare domain experience and ability to translate clinical/business needs into AI solutions
- Strong cross-functional communication skills across technical and non-technical stakeholders
Responsibilities
- Develop and deliver AI-driven enterprise quality software applications.
- Build scalable applications integrating Large Language Models and other AI tools (e.g. voice recognition, document parsing, image parsing, text to speech, RAG) into new and legacy codebases
- Design and optimize data pipelines and datasets for AI system development and testing.
- Communicate modern AI concepts (LLMs, vector databases etc.) to non-technical audiences
- Iteratively craft effective prompts to maximize LLM performance and implement prompt caching strategies
- Maintain prompt libraries & benchmark performance
- Fine-tune & serve GPT-family, Llama
- Develop AI agents Semantic Kernel
- Prototype co-pilot experiences & autonomous workflows
- Fully document all work at both the code level and application level.
- The ability to learn and adapt in a changing environment.
- Collaborate with other staff and outside stakeholders on large projects.
- Must be passionate about creating solutions and solving complex problems.
Benefits
- competitive compensation package
- annual bonus or long-term incentive opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
